My Research Focus— Second Language Acquisition, Language Education, NLP, LLM and Discourse Analytics
  • Theoretical: Writing pedagogy and assessment beyond words and sentences
  • Methodological: Designing Generative-AI tools for language teaching and learning
  • Applications: Generative AI solutions to understanding social media communication (e.g., fake news)
Interested in collaboration on:
Current Projects
Natural Language Processing (NLP) and Large Language Models (LLM) Applications in Education
Technology-supported language assessment, Generative AI in language education, Fake news detection, discourse and digital humanity
GenAI tools developed
  1. Improve Your Stories (ISS): A Generative AI tool that offers personalized, progressive generative feedback and focuses on meaning and language use for oral or written narrative tasks (Wang et al., under review)
2. Improve Student Writing (ISW): ISW is a Multi-layered Feedback AI tool designed for offering structured, multi-level feedback for guiding second language learners’ argumentative essay (Wang et al., in preparation; Chiu et al., in preparation).
3. Conversational Agreement and Rapport Analytics (CARA-NLP): A natural language processing (NLP) tool for evaluating agreement and rapport in conversations (e.g., IELTS speaking, Chiu et al., 2025; Lin et al., 2025)

GitHub

janjanwang/Conversational-Agreement-and-Rapport-Analytics-CARA-

A natural language processing (NLP) tool for evaluating agreement and rapport in conversations. - janjanwang/Conversational-Agreement-and-Rapport-Analytics-CARA-

GenAI tools we are developing
4. A multi-agent system for multi-lingual fake news detection: A persona-based agent system of LLMs that emulate human judgement of fake news in four languages (English, French, Korean, and Chinese) of tweets (Chiu et al., 2025).